It is also important to Hancock to develop more agile and innovative ways of solving problems, as well as to employ the right data science talent. As he told Computing:

“With data science, we’re not going to transform overnight. On one end, you’ve got serious experts who live and breathe Python and R and so on, and they really love mountains of data, and I want them working here (…) But all the way at the other end, I’d like to get to a point where almost everybody, if you’re sitting at a desk for your job, should be able to do some data science.”

It’s a truly inclusive approach to digital transformation – we look forward to seeing the results that Aidan Hancock achieves!

DigitalOcean Launch MySQL and Redis Database Services

DigitalOcean are determined to provide fully customisable and scalable solutions and address the most common problems that developers face, e.g. determining the optimal infrastructure, implementing reliable failover processes or setting up a complete and reliable backup and recovery process.

It is important to highlight that DigitalOcean created managed databases with simple interfaces, allowing developers at all levels to work on them. As they said, all you need to do is “select the database engine, storage, vCPU, memory, and standby nodes and we take care of the rest.”

As pointed out by TechCrunch, “this move exemplifies DigitalOcean’s ambition to move beyond its discount hosting roots to become a more fully fledged cloud provider”. As Shiven Ramji, senior VP of Product points out: “With the additions of MySQL and Redis, DigitalOcean now supports three of the most requested database offerings, making it easier for developers to build and run applications, rather than spending time on complex management. The developer is not just the DNA of DigitalOcean, but the reason for much of the company’s success. We must continue to build on this success and support developers with the services they need most on their journey towards simple app development.”

It’s groundbreaking as, according to Cerebras, the traditional way of hooking up small chips together slows down the training of AI models. The Wafer Scale Engine, on the other hand, possesses 400,000 cores that, linked together, speed up the data processing. Plus, it is able to shift data between processing and memory really fast.

Simon Data raises $30m in Series C

Simon Data, a customer data platform, announced $30 million Series C round of funding. The platform collects data from a variety of marketing tools to get a better understanding of data and activities, to then deliver messages to the customers and trigger actions.

The organisation has an ambitious vision to become an international hub of excellence in North Wales. As Professor John Healey, Director of Research at the College of Environmental Sciences and Engineering said: “It will lead innovation on how advanced engineering, computer science and modelling can be applied most effectively to tackle grand challenges of increasing the sustainability of energy supply and utilisation, while minimising negative environmental impacts, in particular, net carbon emissions.”

We hope you enjoyed this data science edition of Our Week in Digital. If you are looking for a new job in data science, get in touch with us today! We are always keen to hear from exceptional data specialists!